Typically, in SISR, we often need to train specific models for different upsampling factors and it is difficult to arise at the expectation that a model can be applied to multiple upsampling factors. To solve this issue, some models have been proposed for multiple upsampling factors, such as LapSRN [1]}, MDSR [2]}, and MDCN [3]}.
